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Integrated analysis of the aging brain transcriptome and proteome in tauopathy

BACKGROUND: Tau neurofibrillary tangle pathology characterizes Alzheimer’s disease and other neurodegenerative tauopathies. Brain gene expression profiles can reveal mechanisms; however, few studies have systematically examined both the transcriptome and proteome or differentiated Tau- versus age-de...

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Detalles Bibliográficos
Autores principales: Mangleburg, Carl Grant, Wu, Timothy, Yalamanchili, Hari K., Guo, Caiwei, Hsieh, Yi-Chen, Duong, Duc M., Dammer, Eric B., De Jager, Philip L., Seyfried, Nicholas T., Liu, Zhandong, Shulman, Joshua M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7526226/
https://www.ncbi.nlm.nih.gov/pubmed/32993812
http://dx.doi.org/10.1186/s13024-020-00405-4
Descripción
Sumario:BACKGROUND: Tau neurofibrillary tangle pathology characterizes Alzheimer’s disease and other neurodegenerative tauopathies. Brain gene expression profiles can reveal mechanisms; however, few studies have systematically examined both the transcriptome and proteome or differentiated Tau- versus age-dependent changes. METHODS: Paired, longitudinal RNA-sequencing and mass-spectrometry were performed in a Drosophila model of tauopathy, based on pan-neuronal expression of human wildtype Tau (Tau(WT)) or a mutant form causing frontotemporal dementia (Tau(R406W)). Tau-induced, differentially expressed transcripts and proteins were examined cross-sectionally or using linear regression and adjusting for age. Hierarchical clustering was performed to highlight network perturbations, and we examined overlaps with human brain gene expression profiles in tauopathy. RESULTS: Tau(WT) induced 1514 and 213 differentially expressed transcripts and proteins, respectively. Tau(R406W) had a substantially greater impact, causing changes in 5494 transcripts and 697 proteins. There was a ~ 70% overlap between age- and Tau-induced changes and our analyses reveal pervasive bi-directional interactions. Strikingly, 42% of Tau-induced transcripts were discordant in the proteome, showing opposite direction of change. Tau-responsive gene expression networks strongly implicate innate immune activation. Cross-species analyses pinpoint human brain gene perturbations specifically triggered by Tau pathology and/or aging, and further differentiate between disease amplifying and protective changes. CONCLUSIONS: Our results comprise a powerful, cross-species functional genomics resource for tauopathy, revealing Tau-mediated disruption of gene expression, including dynamic, age-dependent interactions between the brain transcriptome and proteome.